Network analysis of longitudinal electronic health records using linear mixed models

Key Points

• Longitudinal analysis identified significant patterns in electronic health records over time, enhancing understanding of patient data dynamics.
• Results included diverse health metrics across a range of indicators, showing the complexity of patient health trajectories.
• Utilizing linear mixed models allows for efficient handling of data variability within electronic health records, improving analysis accuracy.
• Findings underscore the necessity for better data integration methods in healthcare systems to enhance patient management.